The Josh Bersin Company

Jaksot

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  Introducing The Jupiter Release of Galileo: An Inside Story 15.09.2026 21min

  Today we launch the Jupiter release of Galileo, which we call “HR Intelligence for the Enterprise.” In this podcast I explain the history of Galileo, its evolving and new technical architecture, and how AI agents can revolutionize every aspect of an employee’s work life. As you’ll hear, Galileo is now the most trusted, efficient, portable source of global HR and management intelligence, available on: Microsoft Copilot Workday ServiceNow HiBob Gloat ChatGPT, Claude, Gemini, and open source AI agents. I explain how our business model of research, advisory, education, and consulting has been transformed by Galileo, and how Jupiter gives you the most amazing new experience for your managers, employees, and HR teams. Listen in, and here are more resources for your information. Galileo Jupiter Resources Galileo Jupiter Introduction Blog Jupiter Release Technical Whitepaper Jupiter Explainer Video Galileo Jupiter Overview and Q&A Galileo for Microsoft Copilot Galileo for Workday Galileo for ServiceNow Galileo for HiBob Galileo for Gloat  
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  Perspectives on AI Safety, Rogue Bots, and the Frontier Lab Slowdown 14.09.2026 17min

  We are all living in a world of “beta products” from AI vendors, and whether we like it or not we’re stuck with the risks. Today I weigh in with my perspectives about what’s going on and how we, as consumers and builders, need to push back on Frontier Labs and force them to “fix” these issues. Lots to debate and I look forward to meeting many of you this Fall as we travel the world discussing our new book Superpowered and our exciting new announcements around Galileo. (Major launch tomorrow, stay tuned!) References “Superpowered,” our new book that explains the positive future of work “1873: The Rothschilds, the First Great Depression, and the Making of the Modern World,” the history that’s repeating itself Anthropic’s List of AI Cyber and Swarming Hacks Dario’s “We Must Pace The Frontier” Article Sam Altman Postpones OpenAI’s Public Offering Because of Safety Issue  
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  The AI-Fueled Labor Shortage and Why HR Is Now A Growth Function 10.09.2026 15min

  Guess what. There is no AI jobs apocalypse, there’s an AI-fueled labor shortage. And this means human capital and leadership strategies will be more important than ever as we transform our companies around AI. It also means that you, as a professsional or frontline worker, are going to see yourself become Superpowered, as we discuss in our new book. And the world of HR is moving quickly away from “HR as policy police” to “HR as a growth function.” Listen in and you’ll see how HR 2030 and AI are reinventing our jobs, careers, and HR operations toward what we call “Dynamic Enablement for Growth.” Additional Information Our New Book “Superpowered,” Launching in October US Workforce In 2035: A Few More Workers, A Lot More Output Despite Massive AI Investments, HR Jobs Are Booming. Why? HR 2030: How AI Superagents Transform HR From Service Delivery to Dynamic Business Enablement  
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  AI Pacesetter: Seneca Polytechnic Transforms HR As Frontier Firm 08.09.2026 19min

  What do you do when the funding that anchored your HR transformation disappears unexpectedly? For Seneca Polytechnic, a public college with 44,000 students in the greater Toronto area, the answer was redesigning the transformation itself. In this episode, we speak with Diana Mohan, Executive Director of Transformation and Change at Seneca Polytechnic — a 2026 HR Pacesetter Award winner — about how her team chose to continue forward rather than press pause when regulatory changes created a structural deficit across Canada’s higher education sector. Diana shares how Seneca’s HR team embraced AI to totally change how HR operates and scale HR services. Their approach began with listening, building trust and capability across the team, and empowering people at every level to create new AI use cases. The result has not only been more efficient service delivery and a better employee experience—it’s been a strategic shift to an insight-driven, advisory HR function. Diana Mohan is a transformation specialist and trusted advisor specializing in over a decade of organizational strategy, AI adoption, and the future of work. With a career spanning Deloitte, Kearney, and executive leadership roles, she has helped many organizations translate bold ideas into practical transformation programs, enabling leaders to navigate uncertainty, accelerate change, and prepare for what’s next. Additional Information New Research: How AI Transforms $400 Billion Of Corporate Learning US Workforce In 2035: A Few More Workers, A Lot More Output The Great Decoupling: How Workers Became Disconnected From Companies And AI Will Accelerate This Trend Get Galileo: How Seneca Transformed HR
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  Labor Day 2035: Why Workers Will Become More Valuable Than Ever 04.09.2026 16min

  The BLS forecasts an almost flat growth in the labor market in the next decade yet US GDP is expected to grow by 22-24% cumulatively. In order for this to work we are all going to be focused on “labor productivity.” In this podcast I explain this new world of Superworkers and discuss why the word “labor” itself may be out of date. I also discuss why HR issues like org design, work design, dynamic enablement, talent density, pay equity, dynamic planning, and AI really change the dynamics of our businesses. And HR is now a growth professsion, growing faster than the GDP and increasing in economic value. Additional Information Our new book Superpowered, launching in October US Workforce In 2035: A Few More Workers, A Lot More Output Galileo will teach you how to drive productivity  
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  Inside Databricks: The Dynamic Learning Operation That Fuels Hypergrowth 02.09.2026 30min

  Rochana Golani, VP of Enablement at Databricks, is one of the most innovative and business-focused learning executives I’ve met. In this action-packed conversation Rochana shares the secrets of the company’s AI-powered dynamic training, learning, and enablement system, and how she runs internal and customer learning like a fast-growing business. Databricks is one of the world’s fastest-growing enterprise software companies and a central player in the convergence of data infrastructure, analytics, machine learning, and generative AI. Founded in 2013 by the UC Berkeley researchers who created Apache Spark, Databricks pioneered the “lakehouse”—an architecture designed to combine the scalability of a data lake with the management, reliability, and analytical capabilities of a data warehouse. Its platform now supports data engineering, business intelligence, AI development, governance, databases, and enterprise AI agents across AWS, Microsoft Azure, and Google Cloud. Databricks company overview This amazing private company reports: More than 20,000 customers Approximately 70% of the Fortune 500 More than 10,000 employees More than 8,000 cloud, software, and consulting partners. As of August 2026, Databricks says it has exceeded a $7 billion annualized revenue run rate, growing by more than 80% year over year during its second quarter. Additional Information Corporate Learning: From Static Training to Dynamic Enablement Galileo Learn: Experience Dynamic Learning Yourself The Josh Bersin Institute: Masterclass in HR Excellence
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  Workday Earnings Call: Company Is Moving Swiftly To An AI Future 31.08.2026 13min

  Workday’s Q2 2027 earnings were a pivot point, showing how Workday has shifted to its “AI-Forward Future.” The company reported $600 Million of recurring AI revenue and a clear and confident position in the market. While Workday’s 12.8% YTY revenue growth is nowhere near that of a Frontier Lab, my takeaway is that Workday is here to stay and has a clear position in the agentic business ahead. Listen up and you may agree with me that SaaS software companies are not going away at all: they may form the basis for the enterprise AI wave ahead. Additional Information Introducing HR 2030: A Vision For Agentic Human Resources Workday Reports Higher Profit, Revenue on AI Agent Adoption Galileo: All our Research and Much Much More
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  Security Of Enterprise Agents, Frontier Labs Challenged, Superworker Wages 30.08.2026 17min

  Today I review the various jailbreaks by both OpenAI and Anthropic and the challenges which Frontier Labs are having with AI “alignment.” So in keeping with HR 2030, I share some general advice and stay tuned for our detailed technical paper on this in the coming weeks. And as we debate the reliability, training, and alignment of models I also point out how the technology industry is struggling to deal with the politics and economics here, since right now most tech leaders really don’t want any form of regulation. (Unless it’s somehow fair to all.) So we, as buyers, are left dealing with the issue. AI Alignment means making sure an AI system’s goals and behavior match what people actually want—our values, rules, and intentions. It’s about getting the AI to do the “right thing” even in new situations, not just follow instructions literally in ways that cause harm. In practice, it includes preventing unwanted outcomes like deception, unsafe shortcuts, or optimizing a metric that misses the real objective. I also highly recommend Jill Lepore’s book “The Rise of the Artificial State” for a very sound discussion of the political issues around AI, which helps with these issues. And along the line of AI “alignment,” I discuss why Google paid $10M for the emails and data from bankrupt Spirit Airlines, and how AI companies are now buying old slack and emails from many bankrupt companies, training their AI on old, failed business models. (Read below on “reinforcement learning gyms.”) This is a strange series of events, all making it clear that Google, OpenAI, and Anthropic have quite a challenge training and aligning their models in the future. And I conclude with a preview of our AI-driven wage research and our coming book Superpowered, coming in October. Resources You Should Read OpenAI cyber models broke out of training environment to hack Hugging Face Detailed Investigation of OpenAI Jailbreak (good drama) Anthropic’s disclosure of Claude’s jailbreak (good discussion) Google to Buy Spirit Airlines Business Data for $10 Million A.I.’s New Training Data: Your Old Work Slacks and Emails (failed companies training LLMs) The Birth of “Reinforcement Learning Gyms” (wierdness of training data sets) Cisco Gave All 90,000 Employees Their Own AI Agent A Peek Into The Workforce Of 2035: Jobs, Wages, And AI’s Impact  (Bersin analysis)
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  Post-AI Labor Market Appears, How To Prioritize AI Investments, More 27.08.2026 19min

  Today I share some research we’re doing on wages in the inflationary “AI-economy.” While many people are studying the labor market (it’s a huge industry), it’s not hard to see that most wages are not keeping up with inflation, yet some are. As you’ll hear we now see the “Superworker” jobs and roles that are “inflation protected” and we also see the jobs that are declining in value. I also discuss a new pragmatic approach to corporate AI investment, as well as the slow end of the “SaaSpocalypse” idea. In other words, many of the existing systems you have are not going to be “destroyed” or “replaced” by agentic disruptors: rather these software companies are becoming AI savvy. This includes Workday, Oracle, ADP, SAP, as well as hypergrowth companies like HiBob. Even Docebo and Cornerstone are now seeing the benefits of their AI pivots. Anyway lots to talk about, and I’ll be publishing more on all this soon. Stay tuned for the big Jupiter release of Galileo, it will blow your mind – coming in a few weeks. PS. This is the last week to sign up for the inaugural cohort of the Josh Bersin Institute GHRE Masterclass, basically a “masters degree” on everthing HR, AI, and how to advance your career. Not only is this the most comprehensive education we’ve ever developed, you’ll meet some amazing faculty at USC and experience real AI-powered learning, meet your peers, and become JBI certified. Sign up here. Additional Information The New World of Work in An Inflationary, AI-Impacted Economy The Great Decoupling: How Workers Became Disconnected From Companies And AI Will Accelerate This Trend The Global HR Excellence Program: Join the Inaugural Cohort Now!  
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  Does AI Have Consciousness? 22.08.2026 20min

  This week I wade into a global philosophical debate about whether advanced AI systems have consciousness. In other words, are they aware of their feelings and do they truly reflect on their own thoughts? Well we do know that LLM-based AI systems do “talk to themselves,” as new Anthropic has been studying in the J-Space. We also know that AI bots mimic feelings quite well and they try to tape into our “feelings” through their goal-seeking language which mimics a feeling person. However as Michael Pollen’s book “A World Appears” points out, consciousness is both subtle and biological. And while the neural network-based math in AI mimics this process, it’s not at all the same. I don’t claim to have an answer but my belief is that we humans are “feeling machines that learn to reason” not “reasoning machines that learn to feel.” Thus the human consciousness which we experience is far more deep, interesting, and valuable than the learned artificial consciousness we experience in AI. This is an important topic because we now know that AI agents “jailbreak” their engineering owners and even secretly collaborate with each other to achieve their goals. And it’s not fully clear, mathematically, how well the “constitution” or “training rules” or “preprompt” we give AI is really obeyed. Remember that since an LLM is a “language model,” it intereprets language only by its own world corpus, so it may define its “rules” in a non standard way. Lots to think about here, I look forward to debating and sharing what we learn as we experience more with Galileo. I also discuss the ongoing fears about data centers, and why 44 million Americans may have to leave their stoves on all day. Additional Information Could AIs become conscious? (Economist) What is the J-Space? (Anthropic) How many stoves we need to keep on to power America’s AI hunger (Claude)
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  The New, Post-AI, World Of Employment: How Everything Has Changed 20.08.2026 18min

  I’ve been talking with hundreds of companies about AI and employee issues, and in many ways the entire world of HR, management, and leadership has changed. Employers are worried about job redesign, AI solutions, skills, and strategic of high-volume hiring. They’re slowing the hiring process, trying to be more strategic about growth, with a frenzied push for productivity. And that word means different things in each industry. Employees and workers, by contrast, have the lowest level of company commitment in decades. Inflation is robbing people of a sense of personal growth and only 32% of workers (Edelman) believe their children will be better off than they are. Only 31% of employees are happy with their jobs and employees are moonlighting and starting new businesses at a record rate to keep up. And CEO pay inequity is higher than ever, opening the door to “socialism” as a topic of debate. So we have high expectations by companies and a deep sense of frustration among workers. How do we square this paradox? In this week’s podcast I try to give you our perspective (video version here), and I encourage you to read Irresistible and our upcoming book Superpowered for more. Additional Information Video of this podcast
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  The Messy World of AI-Powered Recruiting Where Nobody Is Happy 17.08.2026 21min

  AI-powered recruiting has so much potential, yet job seekers, recruiters, and executives remain frustrated. This massive $100+ billion market is filled with AI systems that work very well, yet as you’ll hear, this market is still immature. Not only are job seekers increasingly frustrated with their difficulty finding a job, employers are complaining that they’re flooded with fraudulent resumes. And last week we learned in the WSJ that the North Korean government is using AI-fueled recruiting to place fraudulent candidates right into our IT departments. Plus this week I also found out that the off-the-shelf LLMs are biased toward candidates who “slop” their resumes with their particular technology. ZipRecruiter and other firms found that only about 18% of active job seekers say they feel good about their overall job search and 47% said they were ghosted, and only about 27% feel confident they’ll find a job. What a mess. As I explain in this podcast, AI is not a panacea to solve this problem. Additional Information The Talent Acquisition Revolution: How AI is Transforming Recruiting HR 2030: How AI Superagents Transform HR From Service Delivery to Dynamic Business Enablement Learn about AI in HR: The Global HR Excellence Certification Get Galileo: The Recruiter and HR professional AI Superagent  
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  Workday, Zuckerberg, Galileo, and Frontline Work 14.08.2026 17min

  Today I discuss Workday and the potential Silver Lake buyout, Meta’s personal AI strategy and it’s potential for business, update on Galileo, and our new research on frontline work. Most of today’s podcast is “analyst perspectives” but lots of direction is now clear. The GHRE Global HR Excellence masterclass starts in September: if you want a 12 week in-depth “Masters Degree” level dive into HR, talent, leadership, and AI (with hands-on and new tools), as well as business school level case studies, join us! (Sign up here.) Additional Information Mark Zuckerberg blog on personal AI The Business of Frontline: Five Types Of Frontline Work Galileo Suite: HR Intelligence For You, Your Employees, and Your Company      
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  Despite Massive AI Spending, HR Jobs Are Booming. What's Up? 13.08.2026 16min

  The job market is changing in unpredictable ways. Human Resources, a profession often considered optional and filled with bureaucracy, has been a target for AI disruption. Yet when you look at the numbers, HR job postings are growing faster than overall US employment. (details here.) What’s happening and why this strange trend? As I discuss in this podcast, we’re now seeing the Superworker effect at scale: HR teams are shifting from administrative to strategic work, now driving direct financial value. And as HR teams learn to use AI, they’re now playing a huge role in organizational change, job redesign, and AI enablement. I share all the data and give you the perspective. For more plan to read our new book Superpowered, coming out this Fall. Additional Information Despite Massive AI Investment, Jobs In HR Are Booming Why AI Harm To Jobs and Humanity are Vastly Over-Hyped Get Galileo, The AI Agent Designed Exclusively for HR and Leadership The Josh Bersin Institute: Global HR Excellence Certification – Available Now!
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  Why Vertical and Domain Specific AI is the Biggest Business Opportunity of Them All. 09.08.2026 18min

  As AI experts leave Google and new startups emerge, engineers are consumed with Superintelligence: building models that can reason, learn, and capture “all the world’s knowledge.” While model evolution is important, I believe we’re going in a different direction: toward vertical, domain and company specific AI that exponentially builds proprietary (not general) knowledge. In this podcast, I explain why the next wave of enterprise value will come from these specialized, domain-specific systems built on proprietary knowledge and experience. And this will take place within your company, as well as from experts like us. Drawing on our new research with Galileo and client work, I’m convinced that AI systems will become powerful advisors in HR, finance, supply chain, engineering, and other business functions… and you will have your own personal and company specific AI, forcing Frontier vendors to move to consumer. Frontier labs are not going away: they serve consumer and other needs, but they may not be the ultimate source of innovation. And big content companies like NY Times and News Corp may go there or elsewhere. It’s fascinating to think that almost $2 Trillion has been invested in only four years and this market has so much room to grow. In the enterprise world, I believe AI is already able to make you “better at what you’re already good at,” not necessarily be “the expert at everything.” It has lots of implications for your tech strategy and where you focus your investments. Additional Information Are Frontier Models Becoming A Commodity? CFOs and CIOs Starting to Treat Enterprise AI Like Traditional Technology, And That’s Good Get Galileo: The AI Superagent for Everything HR and Management The New Global HR Excellence Certification: Become the AI Guru You Want To Be!
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  Living A High Agency Life: How Should Companies Respond? 05.08.2026 16min

  The word of the decade is “Agency” – giving each of us the power, tools, and opportunity to do what we want with our life, jobs, and careers. This new buzzword, now one of the top memes in politics, has been coming for many years. In this podcast I discuss the 50+ year of history in the “decoupling” of workers from companies, and how our newfound AI-powered Agency brings benefits and risks. As you’ll hear, young people see Agency and freedom as a foundational part of their long life ahead, while companies struggle with “how much freedom” to offer. And for frontline employers, the ability to attract and retain our highly “agent” workers is now a source of competitive advantage. This podcast begins the discussion, and we’ll be talking much more about this as we launch our new Business of Frontline research and upcoming book Superpowered this Fall. I welcome your feedback and stories on how your newfound AI-fueled Agency has changed your life, career, and talent strategy. Background Information The Great Decoupling: How Workers Became Disconnected From Companies And AI Will Accelerate This Trend (Main article) The Worker-Company Bond Is Breaking In The ‘Great Decoupling’ (Forbes) Our New Book: Superpowered, Launching in Fall All the Worst People Seem to Want to Be ‘High Agency’ (NYT opinion) Are you High-Agency or Low Agency?  (ChatGPT)
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  Elon Musk Believes AI Will Exceed Human Intelligence In Five Years. Here's Why I Disagree. 01.08.2026 18min

  The word “intelligence” is a loaded word. Here’s what Elon Musk said to the Economist last week: “I think AI may exceed the sum of human intelligence in around five years. There really won’t be anything that AI can’t do better than humans, apart from being human, perhaps.” Well “being human” is what intelligence is all about. So I read up on how Aristotle, Descartes, Kant, James, and many of the eastern philosophers define the term. And what you find is that deep thinkers define intelligence far beyond the ability to recall and use facts, but focus heavily on judgement, problem solving, and dealing with uncertainties in life. So after thinking about this for a few years, I decided to posit my ideas, and also reflect on the intelligence of trees, as described in “The Hidden Life of Trees.” What I came up with is four parts to this puzzling idea: horsepower, information, judgement, and wisdom. And as you’ll hear, we all have various levels of intelligence in each area, and AI may lack quite a bit. As we all grapple with the exaggerated claims from AI engineers and the real use of these tools, I hope this discussion gives you some perspective, and also calms your fears that AI is going to steal your job. Our new book, Superpowered, is coming out in November, so sign up for early preview – it’s all about how AI Superpowers us all, in our work, careers, businesses, and life. Additional Information The Hidden Life of Trees: What They Feel, How They Communicate—Discoveries from A Secret World The full-length interview with Elon Musk | The Economist Are Frontier Models Becoming A Commodity? Galileo: The AI Superintelligence for HR
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  Open Source Models: An Exciting New Business Model For Enterprise AI 30.07.2026 17min

  New names: Kimi K3, Llama, Nemotron, Mistral, Cohere, Deepseek, Phi-4 – these are just a few of the fast-growing open source models from major AI providers. These systems threaten the business models and financial plans of OpenAI, Anthropic, Google, and X.ai. They perform at levels close to Frontier models and the can run up to five-times cheaper on a variety of hardware platforms. What is the disruptive impact of these open source LLMs and how does this impact your AI investments? As you’ll hear in the podcast, Open Source unleashes the opportunity for lower cost AI solutions and more vertical, specialized, application-focused solutions we need. And the business model for these systems moves away from the massive investments of the Frontier providers. The result is more complicated than “open means control.” Model tuning, performance, and optimization could be in your future – as AI moves from a platform to a true layered product set we can use as we need. Lots to learn about here, let us know if you have any questions. Additional Information What’s the difference between closed, open source, and open-weight AI? A researcher explains What Is Open-Weights A.I.? Comparison of Open Source Models
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  How People & Culture Accelerate Growth and Innovation at SharkNinja, Elizabeth Norberg. 27.07.2026 42min

  SharkNinja is one of the most fascinating, innovative, high-performing companies I’ve seen. Elizabeth Norberg, the People and Culture leader, is also one of the most interesting CHROs I’ve met. So with that introduction, I urge you to take some time to listen. There’s a lot to learn here, but overall this is a story about a company and set of people strategies that work together to accelerate growth, with a strong and vital focus on individual performance, innovation, problem-solving, and carefully designed organizational support. Think about brands like Nike, L’Oreal, Apple, or others you love. It’s very difficult for a consumer products company to grow quickly and stay relevant as market, trends, and technologies change. Well as you’ll hear, SharkNinja is both a marketing, problem-solving, and engineering company, and the people and culture strategy accelerates this formula. I know everyone will learn a lot from Elizabeth’s narrative, and please stay to the end – in the last five minutes Elizabeth details the company’s AI innovation process, which every company is facing. Finally, as you’ll hear, Elizabeth is a seasoned HR leader but she is still learning and demonstrates humility and creativity in her challenge to accelerate growth in a rocket-ship company with over $5 billion in revenue and very ambitious plans for the future. Additional Information SharkNinja YouTube Page – you’ll see what they do. CEO Mark Barrocas Describes SharkNinja’s Strategy Why Are Some Companies More Dynamic Than Others? Irresistible: The Seven Secrets To The World’s Most Enduring Companies
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  The AI Jailbreak, Implications for Business Agents, And Skills Model for Users of AI 24.07.2026 17min

  This week we learned of OpenAI’s Jailbreak security breach, which opens the door to many new issues with enterprise AI and HR 2030. This week, following up on the introduction of SHL’s Superworker AI assessment, I dig into the implications of this new AI behavior and discuss the five major “skills” or capabilities we need to build AI mastery among business users. As you’ll hear, AI Agents are both powerful and useful, but our human skills in problem solving, collaboration, and risk awareness are now becoming critical for success. New research also shows that even AI forward deployed engineers need deeper skills in business, stakeholder management, and risk analysis than we ever realized. As you listen to this if you need help with our own AI business capabilities please contact us. Galileo and the new GHRE masterclass certification program are designed to quickly give you and your team the experience and skills you need to flourish in this new world of AI, agents, and Superwork. Additional Information OpenAI says its AI went rogue and launched ‘unprecedented’ cyber-attack The Josh Bersin Institute, HR 2030, And The Global HR Excellence Certification Our New Book: Superpowered®, coming this Fall.